Wouter J. M. Knoben
Wouter J. M. Knoben
Postdoc at University of Saskatchewan in Canmore
Verified email at usask.ca - Homepage
Title
Cited by
Cited by
Year
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ...
Hydrological Sciences Journal 64 (10), 1141-1158, 2019
2692019
Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores
WJM Knoben, JE Freer, RA Woods
Hydrology and Earth System Sciences 23 (10), 4323-4331, 2019
2112019
A Quantitative Hydrological Climate Classification Evaluated with Independent Streamflow Data
WJM Knoben, RA Woods, JE Freer
Water Resources Research 54 (7), 5088-5109, 2018
682018
Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1. 2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as …
WJM Knoben, JE Freer, KJA Fowler, MC Peel, RA Woods
Geoscientific Model Development 12 (6), 2463-2480, 2019
452019
DECIPHeR v1: dynamic fluxEs and connectivity for predictions of HydRology
G Coxon, J Freer, R Lane, T Dunne, WJM Knoben, NJK Howden, N Quinn, ...
Geoscientific Model Development 12 (6), 2285-2306, 2019
262019
A brief analysis of conceptual model structure uncertainty using 36 models and 559 catchments
WJM Knoben, JE Freer, MC Peel, KJA Fowler, RA Woods
Water Resources Research 56, e2019WR025975, 2020
252020
Global bimodal precipitation seasonality: A systematic overview
WJM Knoben, RA Woods, JE Freer
International Journal of Climatology 39 (1), 558-567, 2019
192019
A global survey on the perceptions and impacts of gender inequality in the Earth and space sciences
AL Popp, SR Lutz, S Khatami, THM Van Emmerik, WJM Knoben
Earth and Space Science 6 (8), 1460-1468, 2019
172019
Many commonly used rainfall‐runoff models lack long, slow dynamics: implications for runoff projections
K Fowler, W Knoben, M Peel, T Peterson, D Ryu, M Saft, KW Seo, ...
Water Resources Research 56 (5), e2019WR025286, 2020
152020
Flexible vector-based spatial configurations in land models
S Gharari, MP Clark, N Mizukami, WJM Knoben, JS Wong, A Pietroniro
Hydrology and Earth System Sciences 24 (12), 5953-5971, 2020
112020
Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models
MI Brunner, LA Melsen, AW Wood, O Rakovec, N Mizukami, WJM Knoben, ...
Hydrology and Earth System Sciences 25 (1), 105-119, 2021
6*2021
DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology, Geosci. Model Dev., 12, 2285–2306
G Coxon, J Freer, R Lane, T Dunne, WJM Knoben, NJK Howden, N Quinn, ...
62019
DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology, Geosci. Model Dev., 12, 2285–2306, 10.5194
G Coxon, J Freer, R Lane, T Dunne, WJM Knoben, NJK Howden, N Quinn, ...
gmd-12-2285-2019, 2019
62019
Estimation of non-stationary hydrological model parameters for the Polish Welna catchment
WJM Knoben
University of Twente, 2013
62013
Perceptions and impacts of gender inequality in the geosciences are strongly gendered
A Popp, SR Lutz, S Khatami, T van Emmerik, WJM Knoben
EarthArXiv, 2019
42019
The abuse of popular performance metrics in hydrologic modeling
MP Clark, RM Vogel, JR Lamontagne, N Mizukami, WJM Knoben, G Tang, ...
Water Resources Research 57 (9), e2020WR029001, 2021
32021
The numerical implementation of land models: Problem formulation and laugh tests
MP Clark, R Zolfaghari, KR Green, S Trim, WJM Knoben, A Bennett, ...
Journal of Hydrometeorology 22 (6), 1627-1648, 2021
22021
Mimicry of a Conceptual Hydrological Model (HBV): What's in a Name?
KF Jansen, AJ Teuling, JR Craig, M Dal Molin, WJM Knoben, J Parajka, ...
Water Resources Research 57 (5), e2020WR029143, 2021
22021
How do climate and catchment attributes influence flood generating processes? A large‐sample study for 671 catchments across the contiguous USA
L Stein, MP Clark, WJM Knoben, F Pianosi, RA Woods
Water Resources Research 57 (4), e2020WR028300, 2021
12021
Process oriented insights from interpretable machine learning-what influences flood generating processes?
L Stein, MP Clark, WJM Knoben, F Pianosi, R Woods
Earth and Space Science Open Archive ESSOAr, 2020
12020
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